conftrace_

prompt optimization

203 papers

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Also known as

PO

Co-occurring keywords · papers mentioning both

large language model (106) prompt engineering (48) few-shot learning (20) in-context learning (15) language model (14) reinforcement learning (14) text-to-image generation (12) multi-agent system (10) zero-shot learning (10) retrieval-augmented generation (9)

Papers

AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models IJCAI 2024 AMPO: Automatic Multi-Branched Prompt Optimization EMNLP 2024 A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis AAAI 2024 AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning NeurIPS 2024 Black-Box Forgetting NeurIPS 2024 Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024 ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model NeurIPS 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers ICLR 2024 ConstitutionalExperts: Training a Mixture of Principle-based Prompts ACL 2024 CRCL at SemEval-2024 Task 2: Simple prompt optimizations SemEval 2024 Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024 DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines ICLR 2024 Dual-Phase Accelerated Prompt Optimization EMNLP 2024 Dynamic Prompt Optimizing for Text-to-Image Generation CVPR 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models ACL 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification NeurIPS 2024 Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024 Fight Back Against Jailbreaking via Prompt Adversarial Tuning NeurIPS 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024 IPO: Interpretable Prompt Optimization for Vision-Language Models NeurIPS 2024 Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024 Large Language Models as Optimizers ICLR 2024